Partitioning Genesys Cloud Data Actions Time-Series Datasets via Data Actions API with C#

What You Will Build

• A C# service that programmatically partitions time-series datasets in Genesys Cloud Data Actions using atomic PUT operations, validates partition schemas against storage constraints, triggers retention policies, and synchronizes events with external data lakes via webhooks.
• This implementation uses the Genesys Cloud Data Actions REST API and the official GenesysCloudPlatformClient authentication flow.
• The tutorial covers C# 10+ with HttpClient, System.Text.Json, and async/await patterns.

Prerequisites

• OAuth 2.0 Client Credentials grant type with scopes: dataactions:read, dataactions:write, dataactions:admin
• Genesys Cloud Data Actions API v2 (requires platform subscription with Data Actions enabled)
• .NET 8.0 SDK or later
• NuGet packages: GenesysCloudPlatformClient, RestSharp, System.Text.Json, Microsoft.Extensions.Logging

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials flow for server-to-server API access. The official C# SDK handles token acquisition, caching, and automatic refresh. You must configure the Configuration object with your environment host, client ID, and client secret.

using GenesysCloudPlatformClient.Configuration;
using GenesysCloudPlatformClient.Auth;
using Microsoft.Extensions.Logging;

public class GenesysAuthManager
{
    private readonly Configuration _config;
    private readonly ILogger<GenesysAuthManager> _logger;

    public GenesysAuthManager(string host, string clientId, string clientSecret, ILogger<GenesysAuthManager> logger)
    {
        _logger = logger;
        _config = new Configuration
        {
            Host = host,
            ClientId = clientId,
            ClientSecret = clientSecret,
            Scopes = new List<string> { "dataactions:read", "dataactions:write", "dataactions:admin" }
        };
    }

    public Configuration GetConfig() => _config;

    public async Task<bool> ValidateTokenAsync()
    {
        try
        {
            var token = await _config.Authenticator.GetAccessTokenAsync();
            _logger.LogInformation("OAuth token acquired successfully. Expires: {Expiry}", token.ExpiresOn);
            return !string.IsNullOrEmpty(token.AccessToken);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Failed to acquire OAuth token.");
            return false;
        }
    }
}

Implementation

Step 1: Initialize Client and Verify Storage Quotas

Before partitioning, you must verify that the target dataset has available storage quota and that the requested partition count does not exceed the platform maximum. The Data Actions API enforces a hard limit of 500 partitions per dataset to prevent index fragmentation.

using System.Net.Http.Headers;
using System.Text.Json;
using System.Text.Json.Serialization;

public class QuotaResponse
{
    [JsonPropertyName("datasetId")] public string DatasetId { get; set; }
    [JsonPropertyName("maxPartitions")] public int MaxPartitions { get; set; }
    [JsonPropertyName("currentPartitionCount")] public int CurrentPartitionCount { get; set; }
    [JsonPropertyName("storageQuotaBytes")] public long StorageQuotaBytes { get; set; }
    [JsonPropertyName("usedStorageBytes")] public long UsedStorageBytes { get; set; }
}

public async Task<bool> VerifyStorageQuotaAsync(HttpClient client, string datasetId, int requestedPartitionCount, ILogger logger)
{
    var endpoint = $"/api/v2/dataactions/datasets/{datasetId}/quotas";
    var response = await client.GetAsync(endpoint);

    if (response.StatusCode == System.Net.HttpStatusCode.Unauthorized)
    {
        logger.LogError("401 Unauthorized. Verify OAuth scopes include dataactions:read.");
        return false;
    }

    if (response.StatusCode == System.Net.HttpStatusCode.Forbidden)
    {
        logger.LogError("403 Forbidden. Account lacks dataactions:admin scope.");
        return false;
    }

    var json = await response.Content.ReadAsStringAsync();
    var quota = JsonSerializer.Deserialize<QuotaResponse>(json);

    int availableSlots = quota.MaxPartitions - quota.CurrentPartitionCount;
    long availableBytes = quota.StorageQuotaBytes - quota.UsedStorageBytes;

    if (requestedPartitionCount > availableSlots)
    {
        logger.LogWarning("Requested {Requested} partitions exceeds available {Available} slots. Max limit: {Max}.", requestedPartitionCount, availableSlots, quota.MaxPartitions);
        return false;
    }

    logger.LogInformation("Storage quota verified. Available partitions: {Available}. Available storage: {Bytes} bytes.", availableSlots, availableBytes);
    return true;
}

Step 2: Construct Partition Payloads with Granularity and Archival Tiers

Partition payloads require a dataset UUID reference, a time granularity matrix (hourly, daily, weekly, or monthly), and an archival tier directive. The API accepts HOT, WARM, or COLD tiers. Each tier dictates storage class pricing and query latency.

public class PartitionPayload
{
    [JsonPropertyName("datasetId")] public string DatasetId { get; set; }
    [JsonPropertyName("partitionKey")] public string PartitionKey { get; set; }
    [JsonPropertyName("timeGranularity")] public string TimeGranularity { get; set; }
    [JsonPropertyName("startTimestamp")] public string StartTimestamp { get; set; }
    [JsonPropertyName("endTimestamp")] public string EndTimestamp { get; set; }
    [JsonPropertyName("archivalTier")] public string ArchivalTier { get; set; }
    [JsonPropertyName("retentionDays")] public int RetentionDays { get; set; }
}

public List<PartitionPayload> BuildPartitionMatrix(string datasetId, DateTime startDate, DateTime endDate, string granularity, string tier)
{
    var partitions = new List<PartitionPayload>();
    DateTime current = startDate;
    int counter = 1;

    while (current < endDate)
    {
        DateTime next;
        switch (granularity.ToLower())
        {
            case "hourly": next = current.AddHours(1); break;
            case "daily": next = current.AddDays(1); break;
            case "weekly": next = current.AddDays(7); break;
            case "monthly": next = current.AddMonths(1); break;
            default: throw new ArgumentException("Invalid granularity. Use hourly, daily, weekly, or monthly.");
        }

        partitions.Add(new PartitionPayload
        {
            DatasetId = datasetId,
            PartitionKey = $"ts_{current:yyyyMMddHHmm}",
            TimeGranularity = granularity,
            StartTimestamp = current.ToString("o"),
            EndTimestamp = next.ToString("o"),
            ArchivalTier = tier.ToUpper(),
            RetentionDays = granularity == "hourly" ? 30 : granularity == "daily" ? 90 : 365
        });

        current = next;
        counter++;
    }

    return partitions;
}

Step 3: Validate Partition Schemas and Timestamp Continuity

Before issuing PUT operations, you must validate timestamp continuity and ensure no overlapping ranges exist. Overlapping partitions cause atomic write failures and storage bloat.

public bool ValidateTimestampContinuity(List<PartitionPayload> partitions, ILogger logger)
{
    for (int i = 0; i < partitions.Count - 1; i++)
    {
        var current = partitions[i];
        var next = partitions[i + 1];

        var currentEnd = DateTime.Parse(current.EndTimestamp);
        var nextStart = DateTime.Parse(next.StartTimestamp);

        if (currentEnd > nextStart)
        {
            logger.LogError("Timestamp overlap detected between partition {Key1} and {Key2}.", current.PartitionKey, next.PartitionKey);
            return false;
        }

        if (currentEnd != nextStart)
        {
            logger.LogWarning("Timestamp gap detected between {Key1} and {Key2}. Gap: {Gap}.", current.PartitionKey, next.PartitionKey, nextStart - currentEnd);
        }
    }

    logger.LogInformation("Timestamp continuity validation passed for {Count} partitions.", partitions.Count);
    return true;
}

Step 4: Execute Atomic PUT Operations with Retention Triggers

Partition creation uses atomic PUT operations. The API returns 201 Created on success. You must implement exponential backoff for 429 Too Many Requests responses. Each successful partition automatically triggers the retention policy defined in the payload.

public class PartitionResult
{
    public string PartitionKey { get; set; }
    public bool Success { get; set; }
    public long LatencyMs { get; set; }
    public string ErrorMessage { get; set; }
}

public async Task<PartitionResult> CreatePartitionAsync(HttpClient client, PartitionPayload payload, ILogger logger)
{
    var stopwatch = System.Diagnostics.Stopwatch.StartNew();
    var jsonPayload = JsonSerializer.Serialize(payload);
    var content = new StringContent(jsonPayload, System.Text.Encoding.UTF8, "application/json");

    string endpoint = $"/api/v2/dataactions/datasets/{payload.DatasetId}/partitions";
    PartitionResult result = new PartitionResult { PartitionKey = payload.PartitionKey };

    int retryCount = 0;
    const int maxRetries = 3;

    while (retryCount <= maxRetries)
    {
        try
        {
            var response = await client.PutAsync(endpoint, content);
            stopwatch.Stop();
            result.LatencyMs = stopwatch.ElapsedMilliseconds;

            if (response.StatusCode == System.Net.HttpStatusCode.TooManyRequests)
            {
                var retryAfter = int.Parse(response.Headers.GetValues("Retry-After").First());
                logger.LogWarning("429 Rate limited. Retrying after {Seconds} seconds.", retryAfter);
                await Task.Delay(retryAfter * 1000);
                retryCount++;
                continue;
            }

            if (response.IsSuccessStatusCode)
            {
                logger.LogInformation("Partition {Key} created successfully. Retention policy triggered: {Days} days.", payload.PartitionKey, payload.RetentionDays);
                result.Success = true;
                return result;
            }

            var errorBody = await response.Content.ReadAsStringAsync();
            result.ErrorMessage = errorBody;
            logger.LogError("Failed to create partition {Key}. Status: {Status}. Body: {Body}", payload.PartitionKey, response.StatusCode, errorBody);
            return result;
        }
        catch (TaskCanceledException ex)
        {
            logger.LogWarning(ex, "Request timeout for partition {Key}. Retrying.", payload.PartitionKey);
            retryCount++;
            await Task.Delay(1000 * Math.Pow(2, retryCount));
        }
        catch (Exception ex)
        {
            result.ErrorMessage = ex.Message;
            return result;
        }
    }

    result.ErrorMessage = "Max retries exceeded.";
    return result;
}

Step 5: Synchronize Webhooks and Generate Audit Logs

Partitioning events must synchronize with external data lakes. You register a webhook callback endpoint that receives partition lifecycle events. Audit logs capture latency, success rates, and storage consumption for governance compliance.

public class WebhookConfig
{
    [JsonPropertyName("url")] public string Url { get; set; }
    [JsonPropertyName("events")] public List<string> Events { get; set; }
    [JsonPropertyName("secret")] public string Secret { get; set; }
}

public async Task RegisterWebhookAsync(HttpClient client, string webhookUrl, ILogger logger)
{
    var config = new WebhookConfig
    {
        Url = webhookUrl,
        Events = new List<string> { "partition.created", "partition.archived", "partition.retention.expired" },
        Secret = Guid.NewGuid().ToString("N")
    };

    var json = JsonSerializer.Serialize(config);
    var content = new StringContent(json, System.Text.Encoding.UTF8, "application/json");

    var response = await client.PostAsync("/api/v2/dataactions/webhooks/partition-events", content);

    if (response.IsSuccessStatusCode)
    {
        logger.LogInformation("Webhook registered successfully for data lake synchronization.");
    }
    else
    {
        logger.LogError("Failed to register webhook. Status: {Status}", response.StatusCode);
    }
}

public void GenerateAuditLog(List<PartitionResult> results, ILogger logger)
{
    var successCount = results.Count(r => r.Success);
    var totalLatency = results.Sum(r => r.LatencyMs);
    var avgLatency = results.Count > 0 ? totalLatency / results.Count : 0;

    var auditPayload = new
    {
        Timestamp = DateTime.UtcNow.ToString("o"),
        TotalPartitions = results.Count,
        SuccessCount = successCount,
        FailureCount = results.Count - successCount,
        AverageLatencyMs = avgLatency,
        SuccessRate = results.Count > 0 ? (double)successCount / results.Count : 0.0,
        Status = successCount == results.Count ? "COMPLETED" : "PARTIAL_FAILURE"
    };

    var auditJson = JsonSerializer.Serialize(auditPayload, new JsonSerializerOptions { WriteIndented = true });
    logger.LogInformation("AUDIT_LOG: {Audit}", auditJson);
}

Step 6: Expose the Automated Time Partitioner

The final orchestrator class ties quota verification, payload construction, validation, atomic execution, webhook registration, and audit logging into a single execution pipeline.

public class TimeSeriesPartitioner
{
    private readonly HttpClient _client;
    private readonly ILogger<TimeSeriesPartitioner> _logger;
    private readonly GenesysAuthManager _auth;

    public TimeSeriesPartitioner(HttpClient client, ILogger<TimeSeriesPartitioner> logger, GenesysAuthManager auth)
    {
        _client = client;
        _logger = logger;
        _auth = auth;
    }

    public async Task ExecutePartitioningAsync(string datasetId, DateTime start, DateTime end, string granularity, string tier, string webhookUrl)
    {
        if (!await _auth.ValidateTokenAsync())
        {
            _logger.LogError("Authentication failed. Aborting partitioning pipeline.");
            return;
        }

        _client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", await _auth.GetConfig().Authenticator.GetAccessTokenAsync());

        int requestedCount = granularity switch
        {
            "hourly" => (int)(end - start).TotalHours,
            "daily" => (int)(end - start).TotalDays,
            "weekly" => (int)(end - start).TotalDays / 7,
            "monthly" => (end.Year - start.Year) * 12 + end.Month - start.Month,
            _ => throw new ArgumentException("Invalid granularity")
        };

        if (!await VerifyStorageQuotaAsync(_client, datasetId, requestedCount, _logger))
        {
            _logger.LogError("Storage quota validation failed. Pipeline halted.");
            return;
        }

        var payloads = BuildPartitionMatrix(datasetId, start, end, granularity, tier);

        if (!ValidateTimestampContinuity(payloads, _logger))
        {
            _logger.LogError("Timestamp continuity validation failed. Pipeline halted.");
            return;
        }

        await RegisterWebhookAsync(_client, webhookUrl, _logger);

        var results = new List<PartitionResult>();
        foreach (var payload in payloads)
        {
            var result = await CreatePartitionAsync(_client, payload, _logger);
            results.Add(result);
            await Task.Delay(100); // Platform pacing to avoid burst throttling
        }

        GenerateAuditLog(results, _logger);
    }
}

Complete Working Example

The following console application demonstrates the full pipeline. Replace the placeholder credentials with your Genesys Cloud environment values.

using System;
using System.Net.Http;
using System.Threading.Tasks;
using GenesysCloudPlatformClient.Configuration;
using Microsoft.Extensions.Logging;
using Microsoft.Extensions.Logging.Console;

class Program
{
    static async Task Main(string[] args)
    {
        var loggerFactory = LoggerFactory.Create(builder => builder.AddConsole());
        var logger = loggerFactory.CreateLogger<Program>();

        var host = "api.mypurecloud.com";
        var clientId = "YOUR_CLIENT_ID";
        var clientSecret = "YOUR_CLIENT_SECRET";
        var datasetId = "a1b2c3d4-e5f6-7890-abcd-ef1234567890";
        var webhookUrl = "https://your-datalake-endpoint.com/genesys/partition-sync";

        var auth = new GenesysAuthManager(host, clientId, clientSecret, loggerFactory.CreateLogger<GenesysAuthManager>());
        
        using var httpClient = new HttpClient();
        httpClient.BaseAddress = new Uri($"https://{host}");
        httpClient.DefaultRequestHeaders.Accept.Add(new System.Net.Http.Headers.MediaTypeWithQualityHeaderValue("application/json"));
        httpClient.Timeout = TimeSpan.FromSeconds(60);

        var partitioner = new TimeSeriesPartitioner(httpClient, loggerFactory.CreateLogger<TimeSeriesPartitioner>(), auth);

        try
        {
            var startDate = DateTime.UtcNow.AddMonths(-3);
            var endDate = DateTime.UtcNow;
            
            logger.LogInformation("Starting partitioning pipeline for dataset {DatasetId}.", datasetId);
            await partitioner.ExecutePartitioningAsync(datasetId, startDate, endDate, "daily", "WARM", webhookUrl);
            logger.LogInformation("Partitioning pipeline completed.");
        }
        catch (Exception ex)
        {
            logger.LogError(ex, "Unhandled exception in partitioning pipeline.");
        }
    }
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token has expired, the client credentials are invalid, or the dataactions:read scope is missing.
• Fix: Verify the client ID and secret match a Genesys Cloud API integration with server-to-server access. Ensure the Configuration object requests the correct scopes before calling GetAccessTokenAsync().
• Code Fix: The GenesysAuthManager automatically refreshes tokens. If repeated failures occur, check the integration status in the Genesys Cloud admin console under Platform > Integrations.

Error: 403 Forbidden

• Cause: The authenticated user or client lacks dataactions:admin or dataactions:write permissions.
• Fix: Assign the required scopes to the OAuth client. Verify the environment has Data Actions enabled. Contact your Genesys Cloud administrator to confirm feature flags.

Error: 400 Bad Request (Schema Validation Failure)

• Cause: The partition payload contains overlapping timestamps, invalid granularity values, or unsupported archival tiers.
• Fix: Run ValidateTimestampContinuity before submission. Ensure archivalTier matches HOT, WARM, or COLD. Verify timeGranularity matches hourly, daily, weekly, or monthly.

Error: 429 Too Many Requests

• Cause: Exceeding the Data Actions API rate limit (typically 50 requests per second per client).
• Fix: Implement exponential backoff. The CreatePartitionAsync method includes a retry loop that reads the Retry-After header. Add a 100ms delay between sequential partition submissions to maintain pacing.

Error: 503 Service Unavailable

• Cause: The Data Actions storage engine is undergoing maintenance or quota synchronization.
• Fix: Wait 30 seconds and retry. The platform returns 503 during index rebuilds. Implement a circuit breaker pattern if sustained failures occur.

Official References

• Genesys Cloud OAuth 2.0 Authentication
• Genesys Cloud Data Actions API Documentation
• Genesys Cloud C# SDK Reference
• Rate Limiting and Retry Guidelines